A Novel Grammatical Inference Learning Algorithm for Automatic Modelling of Drive Systems
نویسندگان
چکیده
A new formal language concept for automatic modelling of drive systems is presented. The proliferation of electrical drives promises improved efficiency and reliability, reduced maintenance and operative costs, and a more environment friendly operation. However, they exhibit considerable complexities related with their behaviour such as large uncertainties at the structural and parameter levels, multidimensionality, and strong mutual interactions. The integration of these systems with information processing techniques allows for a better modelling of their behaviour. The drive system is assumed as a linguistic source producing a certain language. A grammatical inference algorithm is developed to extract the productions of the language grammar. The formalism of the developed formal language-based modelling algorithm is presented and experimental results are discussed.
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